In this paper we present a novel technique for data
hiding in binary document images. We use the concept of entropy in
order to identify document specific least distortive areas throughout
the binary document image. The document image is treated as any
other image and the proposed method utilizes the standard document
characteristics for the embedding process. Proposed method
minimizes perceptual distortion due to embedding and allows
watermark extraction without the requirement of any side information
at the decoder end.
[1] L. Haipang , Alex C. Kot, and Yun Q. Shi , "Distance-Reciprocal
Distortion Measure for Binary Document Images," in IEEE Signal
Processing Letters, Vol. 11,No. 2,February 2004.
[2] Y. Huijuan and Alex C. Kot, "Text Document Authentication By
Integrating Inter Character And Word Spaces Watermarking" ", The
2004 IEEE International Conference on Multimedia and Expo.
(ICME'2004), June 26-30, 2004.
[3] Y. Huijuan and Alex C. Kot, "Data hiding for Bi-level Documents Using
Smoothing Techniques", The 2004 IEEE International Symposium on
Circuits and Systems(ISCAS'2004), Vol. V, pp. 692-695, May 23-26,
2004.
[4] Young-Won Kim, Kyung-Ae Moon, and Il-Seok Oh, "A Text
watermarking Algorithm based on Word Classification and Inter-word
Space Statistics", IEEE, Seventh International Conference on Document
Analysis and Recognition Volume II, August 03-06,2003, Edinburgh,
Scotland.
[5] H. Ding and Hong Yan "Interword Distance Changes Represented by
Sine Waves for Watermarking Text Images", CirSysVideo, Vol 11, No.
12, December 2001.
[6] K. Jonathan Su, Frank Hartung, and Bernd Girod ,"Digital Watermarking
of Text, Images and Video Documents", Computer Graphics
International 98, Hannover, Germany, June 1998.
[7] C. Nopporn, "Document Image Data Hiding Using Character Spacing
Width Sequence Coding", in ICIP-99, pg II:250-254.
[8] S. Pavan, Sridhar Gangadharpalli, Sridhar V., "Multivariate Entropy
Detector Based Hybrid Image Registration Algorithm", IEEE
International Conference on Acoustics, Speech, and Signal Processing,
March 18-23, 2005 (ICASSP).
[1] L. Haipang , Alex C. Kot, and Yun Q. Shi , "Distance-Reciprocal
Distortion Measure for Binary Document Images," in IEEE Signal
Processing Letters, Vol. 11,No. 2,February 2004.
[2] Y. Huijuan and Alex C. Kot, "Text Document Authentication By
Integrating Inter Character And Word Spaces Watermarking" ", The
2004 IEEE International Conference on Multimedia and Expo.
(ICME'2004), June 26-30, 2004.
[3] Y. Huijuan and Alex C. Kot, "Data hiding for Bi-level Documents Using
Smoothing Techniques", The 2004 IEEE International Symposium on
Circuits and Systems(ISCAS'2004), Vol. V, pp. 692-695, May 23-26,
2004.
[4] Young-Won Kim, Kyung-Ae Moon, and Il-Seok Oh, "A Text
watermarking Algorithm based on Word Classification and Inter-word
Space Statistics", IEEE, Seventh International Conference on Document
Analysis and Recognition Volume II, August 03-06,2003, Edinburgh,
Scotland.
[5] H. Ding and Hong Yan "Interword Distance Changes Represented by
Sine Waves for Watermarking Text Images", CirSysVideo, Vol 11, No.
12, December 2001.
[6] K. Jonathan Su, Frank Hartung, and Bernd Girod ,"Digital Watermarking
of Text, Images and Video Documents", Computer Graphics
International 98, Hannover, Germany, June 1998.
[7] C. Nopporn, "Document Image Data Hiding Using Character Spacing
Width Sequence Coding", in ICIP-99, pg II:250-254.
[8] S. Pavan, Sridhar Gangadharpalli, Sridhar V., "Multivariate Entropy
Detector Based Hybrid Image Registration Algorithm", IEEE
International Conference on Acoustics, Speech, and Signal Processing,
March 18-23, 2005 (ICASSP).
@article{"International Journal of Information, Control and Computer Sciences:54545", author = "Swetha Kurup and Sridhar G. and Sridhar V.", title = "Entropy Based Data Hiding for Document Images", abstract = "In this paper we present a novel technique for data
hiding in binary document images. We use the concept of entropy in
order to identify document specific least distortive areas throughout
the binary document image. The document image is treated as any
other image and the proposed method utilizes the standard document
characteristics for the embedding process. Proposed method
minimizes perceptual distortion due to embedding and allows
watermark extraction without the requirement of any side information
at the decoder end.", keywords = "Entropy, Steganography, Watermarking.", volume = "1", number = "11", pages = "3469-4", }